Samsung Galaxy S24 Ultra
Geekbench AI Score
3021
Single Precision Score
3055
Half Precision Score
4936
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 06 2025 12:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U1 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2447
455.1 IPS |
|
|
Image Classification (HP)
|
100% |
2475
460.3 IPS |
|
|
Image Classification (Q)
|
100% |
3867
719.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4471
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4883
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4647
5.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
10619
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
2047
162.9 IPS |
|
|
Object Detection (HP)
|
98% |
2368
188.5 IPS |
|
|
Object Detection (Q)
|
83% |
3693
298.3 IPS |
|
|
Face Detection (SP)
|
100% |
4377
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
4128
49.1 IPS |
|
|
Face Detection (Q)
|
95% |
7936
94.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4160
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4201
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7663
70.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11278
14.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11086
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21521
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2290
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2289
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5670
210.1 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
88% |
1710
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (Q)
|
50% |
998
35.4 IPS |
